Triple

T8115242
Position Surface form Disambiguated ID Type / Status
Subject Experience E189455 entity
Predicate artist P184 FINISHED
Object Kacy Hill E36191 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kacy Hill | Statement: [Experience, artist, Kacy Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kacy Hill
Context triple: [Experience, artist, Kacy Hill]
  • A. Kacy Hill chosen
    Kacy Hill is an American singer-songwriter and model known for her ethereal pop and R&B-influenced music and for being one of the early artists signed to Kanye West’s GOOD Music label.
  • B. Carly Tenney
    Carly Tenney is a central, long-running fictional character on the American soap opera "As the World Turns," known for her complex relationships, scheming nature, and dramatic personal storylines.
  • C. Lindsey Meeks
    Lindsey Meeks is the ambitious, career-focused executive who becomes romantically involved with a die-hard Boston Red Sox fan in the romantic comedy film "Fever Pitch" (2005).
  • D. Jane Hanson
    Jane Hanson is a British academic leader who serves as the ceremonial head (Chancellor) of the University of Leeds.
  • E. Kelly McCormick
    Kelly McCormick is a film producer known for her work on high-octane action movies, frequently collaborating with director David Leitch on projects such as Atomic Blonde, Nobody, and Bullet Train.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:33 p.m.